Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Knowledge-Aware Query Expansion with Large Language Models for Textual and Relational Retrieval
As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2410.13765.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-04T23:23:41.861983Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-04T20:00:08.606909Z
Reference resolution
0 of 0 outbound references displayed
- verified exact0
- verified fuzzy0
- unresolved0
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
No outbound reference observations are available for this paper version.
Pith citing papers
Observation dbdc0a48-7af3-4cfa-a9cd-8e15c9f2039d · inbound
Domain-Aware RAG: MoL-Enhanced RL for Efficient Training and Scalable Retrieval cites this paper.
Domain-Aware RAG: MoL-Enhanced RL for Efficient Training and Scalable Retrieval Knowledge-Aware Query Expansion with Large Language Models for Textual and Relational Retrieval
Reference 27
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T23:23:41.861983Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 144808c7-8038-4276-adab-6f40cc392193 · inbound
Only Ask What You Don't Know: Grounded Delta Planning for Efficient Multi-step RAG cites this paper.
Only Ask What You Don't Know: Grounded Delta Planning for Efficient Multi-step RAG Knowledge-Aware Query Expansion with Large Language Models for Textual and Relational Retrieval
Reference 37
- Resolution
- verified exact
- arxiv_id, observed 2026-07-04T09:19:44.011126Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 50e4bd7c-7844-4d9a-943f-0e0209a30fce · inbound
Is GraphRAG Needed? From Basic RAG to Graph-/Agentic Solutions with Context Optimization cites this paper.
Is GraphRAG Needed? From Basic RAG to Graph-/Agentic Solutions with Context Optimization Knowledge-Aware Query Expansion with Large Language Models for Textual and Relational Retrieval
Reference 35
- Resolution
- verified exact
- arxiv_id, observed 2026-07-04T20:00:08.608670Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.